مطالعات کاربردی زبان - Iranian Journal of Applied Language Studies

This article examines the evolution of teacher education in Iran, with a specific focus on English language teacher training. Utilizing a qualitative analysis of historical documents, the study identifies six distinct periods in this evolution. The first period marks the foundation of teacher education with the establishment of the Dar al-Fonun School. The second period saw the formalization of teacher education through the Central and Higher Teacher Training Colleges. In the third period, teacher training expanded with the creation of Preliminary and Higher Colleges, focusing on multidisciplinary fields, including the French language. The fourth period introduced specialized programs, such as English language teaching, which replaced French. During the fifth period, teacher training centers reached their peak and then declined. Finally, the sixth period marks a shift in the educational system’s approach to teacher education, highlighted by the establishment of Farhangian University. Throughout these periods, English language teacher curricula evolved from classical and structural approaches to communicative and interactive methods. This shift not only highlights the changing pedagogical landscape in Iran but also underscores the need for curricula that better prepare teachers for contemporary classroom dynamics. The findings showcase the developmental trajectory of teacher education in Iran, emphasizing the need to address future challenges.

Criticism of a translation evaluates its quality, accuracy, and effectiveness in communicating with the target readers. To ensure objectivity, such criticism requires a defined model. Pym’s (2007) model is based on two main concepts: directional equivalence and natural equivalence. Directional equivalence highlights the difference between the translation and the original, which is easily recognizable. In contrast, natural equivalence pertains to what different languages and cultures inherently produce within their own systems to convey a message, function, or referent. These two concepts make Pym’s model effective for broad evaluations of translations. This study applied Pym’s framework to objectively criticize the Persian translation of Melville’s (2021) Moby Dick to investigate the type of equivalence—directional or natural—the Persian translator employed. To do so, a comparison was made between the original and its translation to examine the translation techniques adopted by the translator at the micro-level, leading to the determination of his overall strategy at the macro-level based on Malone’s (1988) taxonomy of translation techniques, including matching, zigzagging, recrescence, repackaging, and reordering. The findings revealed that the translator employed all of Malone’s techniques but leaned toward those that prioritized naturalness over directionality. This approach enabled the production of a translation that maintained a close relationship between the source and target languages, ensuring effective communication with Persian readers. The findings of the current study offer pedagogical implications that may be beneficial for translation students, novice critics, and translation teachers.

The focus of prior studies has been on introducing different cultulings in Iranian culture; as a result, little attention has been given to their relationship with individual differences and language-related variables. Therefore, to address this gap, the researchers first devised a cultuling competency test to measure individuals’ ability to identify 14 culturally different contexts. They then substantiated the construct validity of the cultuling competency test through CFA, and its reliability was measured using Cronbach’s alpha, suggesting high reliability. Next, the researchers aimed to assess the role of cultuling in individuals’ language aptitude, verbal intelligence, cultural intelligence, and second language (L2) willingness to communicate (WTC). The results indicated that cultuling is a significant predictor of verbal intelligence. It was also found that L2 WTC and cultural intelligence are positively correlated. Finally, the findings revealed that language aptitude has a significant relationship with both cultural and verbal intelligence.

Since reflective practice is regarded as a significant professional learning tool for teachers to change, modify, and reform their educational practices, it is important for teachers to move towards a more creative use of reflection. Thus, imaginative and creative reflective practice can serve as a new approach to enhance teaching efficiency, originality, reflectivity, and practicality. Additionally, teachers can utilize Artificial Intelligence (AI) tools to implement reflective practice in creative and imaginative ways to support innovative reflections and address complex teaching challenges. Accordingly, this study employed imaginative and creative reflective practice with a Chat Generative Pre-Trained Transformer (ChatGPT) as a novel AI tool. This study explored how imaginative and creative AI-oriented reflective practice could contribute to the professional development of EFL teachers within a complex educational system. To this end, the perspectives of six novice and experienced EFL teachers were examined through semi-structured interviews, classroom observations, and post-class discussions within a qualitative case study framework. The findings indicated that teachers were able to transform and reform their belief systems by learning new concepts, reflecting on their practices, innovating knowledge and practice, and initiating change through imaginative and creative AI-oriented reflective practice. The study concludes with suggestions on how to engage language teachers in imaginative and creative AI-oriented reflective practices.

The present study aimed to examine kinetic units, implicature, and coherence in Persian audio descriptions. To this end, 10 Persian audio-described movies, totaling 1,004 minutes, were analyzed, and their audio descriptions (ADs) were documented, resulting in 3,485 records. These records were filtered for descriptions related to characters’ movements, yielding 2,095 ADs, which were analyzed in three phases. First, the type of kinetic unit in each AD was identified. Second, the implicature of kinetic units was examined to determine whether it was included in the ADs or ignored. The final phase addressed coherence in ADs. The results revealed that gesture was the most frequent kinetic unit in Persian ADs, followed by manner and posture. Moreover, 96% of kinetic units lacked implicature, and only 2.5% of implicatures related to characters’ movements were ignored in audio descriptions, which does not raise serious concerns about accessibility for blind and visually impaired audiences. Regarding coherence, 97% of Persian ADs were found to be coherent, highlighting the substantial accessibility they provide to their target audience. However, accessibility was not solely contingent upon linguistic and pragmatic factors. Technical challenges, such as background music overshadowing ADs, posed additional barriers to media accessibility.

This research aims to develop a questionnaire that measures students’ attitudes toward collaborative course design and identifies any barriers that might hinder student participation in course design. The questionnaire was developed in four phases. First, an item pool was created based on experts’ opinions, relevant literature, and the researchers’ experience. Second, the items were classified into two main sections: “attitudes” and “barriers”, with the latter further divided into five subcategories (social and cultural, educational and institutional, individual, practical, and attitudinal). The content validity of the questionnaire was assessed, with all items and subcategories achieving CVR>0.59 and CVI>0.79, thus surpassing the minimum required threshold. Third, the questionnaire was piloted with 330 students. The construct validity of the Collaborative Course Design Questionnaire (CCDQ) was confirmed through exploratory factor analysis (EFA) using Principal Component Analysis (PCA) as the extraction method, along with Varimax rotation, which identified six factors explaining 71.536% of the variance in the data. Finally, Cronbach’s alpha was calculated, yielding reliability indices ranging from 0.971 to 0.627, indicating internal consistency and reliability of the items within each construct. The findings suggest that the Collaborative Course Design Questionnaire is a valid and reliable instrument suitable for use with senior high school students.

This research explores translation dynamics through the innovative lens of chaos theory, focusing on how the butterfly effect manifests in linguistic transfer. By challenging traditional linear translation models, the study demonstrates how seemingly minor initial conditions can generate profound, cascading interpretive consequences across textual landscapes. Adopting a complexity science perspective, among others, the research examines translations of Rumi’s Masnavi and Camus’s L’Étranger to highlight translation’s inherently nonlinear and adaptive nature. The theoretical framework integrates insights from complexity science, poststructuralist theory, and translation studies, offering a sophisticated analytical approach that moves beyond reductive binary conceptualizations. Using purposive theoretical sampling, the study traces how subtle translation choices recursively shape semantic and cultural interpretations. By emphasizing translation’s sensitivity to initial conditions, the research contributes to emerging scholarship that views translation as a complex, dynamic system characterized by intricate interactive processes. Methodologically, the study employs qualitative case analyses to reveal the profound complexity of translation.

Discourse markers play a crucial role in textual cohesion and coherence. By identifying patterns of discourse marker usage, valuable insights can be gained into the underlying communicative strategies employed by text producers. Qur’anic discourse markers are of particular significance for several reasons, making their translation a critical area of study. Accordingly, this article aims to examine the second most frequent, complex, ambiguous, and multifaceted Qur’anic discourse marker, fa, in a Persian and English Qur’anic parallel corpus from a pragmatic perspective. To this end, six ajzā (parts) of the Holy Qur’an were randomly selected as the research sample and served as the source text of the corpus. The Persian translation by Ali Maleki and the English translation by Tahereh Saffarzadeh were chosen as the target texts through purposive sampling. The bilingual parallel corpus was designed to facilitate the investigation of variations and trends across the two languages, thereby providing a more in-depth understanding of the translation process. The analysis of this corpus revealed that translators rendered this Qur’anic meta-discursive component figuratively, communicatively, and dynamically by employing four different types and 81 unique discourse markers to establish various logical relationships between discourse units. These discourse markers conveyed discursive functions of contrast, elaboration, inference, and temporality. This figurative and communicative system, adopted and adapted in the construction of discourse, is substantiated through different theoretical perspectives in discourse analysis and pragmatics. Beyond its contribution to discourse analysis by highlighting the complexities of language use and the interpretation of sacred texts across languages, the study’s findings offer valuable insights for translators in general, and for Qur’an translators in particular, by shedding light on the intricate yet subtle process of discourse construction and its crucial role in facilitating more effective communication.

This study explores the utilization of lexical bundles (LBs) in the reading sections of international English proficiency tests, specifically IELTS and TOEFL, in comparison with Iranian local assessments such as MSRT, TOLIMO, and EPT. The research aims to analyze both the structural and functional categories of these LBs. To facilitate this investigation, two distinct corpora were compiled, consisting of 513,490 tokens from international assessments and 432,252 tokens from local Iranian tests. Utilizing AntConc software for quantitative analysis, the study identified LBs and conducted a qualitative examination of their structural patterns, functional roles, and contextual applications. The findings reveal significant differences between the international and local assessments: 1,030 instances of LBs were identified in the International Corpus (IC), whereas the Local Corpus (LC) contained only 564. Inferential statistical analysis indicated a higher prevalence of discourse organizers and stance bundles in the IC, contrasted with a predominance of referential bundles in the LC. Furthermore, international assessments featured mainly noun-phrase fragments, unlike the Iranian ones that predominantly used prepositional-phrase fragments. Statistical tests, including the Linear-by-Linear Association test (p=0.028) and the Chi-square test (χ²(2)=28.803, p<0.001), confirmed these structural variations, suggesting divergent academic discourse conventions between the corpora. The results underscore the need for revisions in Iranian assessments to align with international standards, potentially enhancing global academic proficiency and fostering greater learner engagement in higher education contexts.

Artificial Intelligence (AI) is increasingly transforming the landscape of education, particularly within the domain of language learning, as evidenced by a growing body of research published in computer-assisted language learning (CALL) journals. These studies have examined the application of various AI technologies, including natural language processing (NLP), AI-driven educational platforms, automatic speech recognition, and chatbots, in facilitating language acquisition. The present study investigated the perceptions of 386 Iranian high school EFL students, utilizing the Students’ Perceived EFL Teacher Support Scale to evaluate the impact of AI-powered speaking assistance technologies, educational level, and learning setting on perceived teacher support. The findings revealed a tri-factorial structure underlying EFL teacher support, highlighting the compatibility of AI technologies with traditional pedagogical methods. This suggests that the integration of AI-powered tools into classroom instruction can enhance the overall effectiveness of language teaching and learning. To ensure optimal outcomes, educators are encouraged to strategically incorporate AI within pedagogically sound frameworks that maintain human-centered support. The study offers important implications for sustaining and enhancing teacher support in technology-enriched learning environments and underscores the need for further empirical research in this evolving area of applied linguistics and educational technology.